Now let's do something with a $2-$D array of Dow Jones Industrial Average in $2008$ The array data$\_$problem$\_$sets$\_1.$csv is a $2-$D array with each row holding the daily performance of the Dow Jones Industrial Average from the beginning of $2008($dates have been removed for exercise simplicity$).$ The array has the following structure:: OPEN HIGH LOW CLOSE VOLUME ADJ$\_$CLOSE $13261\mathrm{.}8213338\mathrm{.}2312969\mathrm{.}4213043\mathrm{.}96345265000013043\mathrm{.}9613044\mathrm{.}1213197\mathrm{.}4312968\mathrm{.}4413056\mathrm{.}72342950000013056\mathrm{.}7213046\mathrm{.}5613049\mathrm{.}6512740\mathrm{.}5112800\mathrm{.}18416600000012800\mathrm{.}1812801\mathrm{.}1512984\mathrm{.}9512640\mathrm{.}4412827\mathrm{.}49422126000012827\mathrm{.}4912820\mathrm{.}912998\mathrm{.}1112511\mathrm{.}0312589\mathrm{.}07470539000012589\mathrm{.}0712590\mathrm{.}2112814\mathrm{.}9712431\mathrm{.}5312735\mathrm{.}31535103000012735\mathrm{.}31$ Below you will find the necessary modules for the task. from numpy import loadtxt, sum, where Below are constants that indicate what data is held in each column of the dow array. $$ OPEN $=0$ HIGH $=1$ LOW $=2$ CLOSE $=3$ VOLUME $=4$ ADJ$\_$CLOSE $=5$ data$\_$problem$\_$sets$\_3.$csv is our NumPy array that you will manipulate. Below you will find another way to load your csv file :) dow $=\backslash$ loadtxt$("$data$\_$problem$\_$sets$\_3.$csv$",$ delimiter$=",")$ dow array$([[1\mathrm{.}326182$e$+04,1\mathrm{.}333823$e$+04,1\mathrm{.}296942$e$+04,1\mathrm{.}304396$e$+04,3\mathrm{.}452650$e$+09,1\mathrm{.}304396$e$+04],[1\mathrm{.}304412$e$+04,1\mathrm{.}319743$e$+04,1\mathrm{.}296844$e$+04,1\mathrm{.}305672$e$+04,3\mathrm{.}429500$e$+09,1\mathrm{.}305672$e$+04],[1\mathrm{.}304656$e$+04,1\mathrm{.}304965$e$+04,1\mathrm{.}274051$e$+04,1\mathrm{.}280018$e$+04,4\mathrm{.}166000$e$+09,1\mathrm{.}280018$e$+04],...,[1\mathrm{.}141246$e$+04,1\mathrm{.}157514$e$+04,1\mathrm{.}134969$e$+04,1\mathrm{.}150251$e$+04,3\mathrm{.}499610$e$+09,1\mathrm{.}150251$e$+04],[1\mathrm{.}149987$e$+04,1\mathrm{.}175646$e$+04,1\mathrm{.}149372$e$+04,1\mathrm{.}171518$e$+04,3\mathrm{.}854280$e$+09,1\mathrm{.}171518$e$+04],[1\mathrm{.}171323$e$+04,1\mathrm{.}173049$e$+04,1\mathrm{.}150878$e$+04,1\mathrm{.}154355$e$+04,3\mathrm{.}288120$e$+09,1\mathrm{.}154355$e$+04]])$ Question $10-1.$ Please create a mask array that indicates which rows have a volume greater than $5\mathrm{.}5$ billion. Hint: The mask refers to boolean masking. How would you go about doing boolean masking? How will you apply the mask to the dataframe?